View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Decision Tree |  Architecture C4 Model |  Operations Root Cause Tree Analysis |  Operations Scatter Diagram |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 1-4 h | 1-3 h | 30-90 min |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | DecisionTreeOptions | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality | Root causeQualityVisualization |